Static Reference Examples

Real Example Build Plans

These are 3 curated, static reference plans demonstrating how TheIdeaToCode selects domain-specific core libraries, defines scope cuts, and creates actionable handoff prompts.

Static Example

PromptCAD Studio

Budget: freeTool: Cursor

Summary:

Natural-language driven parametric 2D CAD canvas with vector export.

Core Action & Observable Result:

User types "draw a 50mm square mounting plate with 4 corner bolt holes and a 20mm center bore" → Parametric 2D vector geometry renders on the interactive canvas with dimensions and pan/zoom controls

Smallest Testable Scope (MVP):

Single-page canvas with prompt input that generates 2D geometric primitives and exports valid SVG

Explicitly Out of Scope:

Cloud team collaboration, User accounts / login, Complex 3D finite element simulation

Core Feature Libraries

Paper.js (or Maker.js for CAD math), HTML5 Canvas API / WebGL, dxf-writer

Framework: Next.js 15 (App Router)

CAD generation is client-intensive geometry math. Paper.js/Maker.js provides exact boolean operations and vector paths in the browser without server round-trips.

Product AI Audit

Product AI Model Integrated

Model: Claude 3.5 Sonnet / OpenAI GPT-4o

Translates unstructured natural language dimensions into structured parametric JSON geometric primitives.

Cloud Hosting

Vercel (Hobby Tier)

Est: $0.00 / month (app hosting)

At time of writing; verify with the provider before deploying.

Ready-to-Paste Handoff Prompt (Cursor)

You are a principal graphics and full-stack engineer building "PromptCAD Studio".

PRODUCT SPECIFICATION:
Natural-language driven parametric 2D CAD canvas where typing a prompt generates vector geometry on an interactive canvas with SVG/DXF export.

SCOPE CUT (V1 MVP):
- IN SCOPE: Prompt input bar, Paper.js geometry canvas with pan/zoom, coordinate dimension overlays, and instant SVG export.
- EXPLICITLY OUT OF SCOPE: User login, database persistence, cloud projects, 3D physics.

CORE ACCEPTANCE TEST:
When a user types "draw a 50mm square mounting plate with 4 corner bolt holes and a 20mm center bore" and hits Generate:
1. Paper.js renders the outer square and 5 circular cutouts with dimension labels.
2. Clicking "Export SVG" downloads a clean vector SVG file with correct geometry.

BUILD ORDER:
1. Initialize Paper.js canvas viewport in /components/CadCanvas.tsx with mouse pan/zoom.
2. Build geometric parser and state store in /lib/cad-engine.ts.
3. Build API route /api/parse-cad-prompt calling LLM with structured JSON output schema for primitives (rectangles, circles, lines, cutouts).
4. Connect prompt input bar to canvas and add SVG export button.

First Working Version Checklist (Check Without Reading Code)

Canvas viewport initializes with pan and zoom

Open http://localhost:3000; verify dark grid canvas appears and dragging the mouse pans the view.

Prompt generates observable vector shapes

Type a prompt like "draw a 60mm circle with 4 radial notches" and confirm vector outlines render on canvas.

Export produces valid vector file

Click Export SVG; open the downloaded file in your browser or vector viewer and confirm correct dimensions.

Static Example

DailyPace Habit Tracker

Budget: freeTool: Cursor

Summary:

Local-first habit tracker with streak calculations and zero network latency.

Core Action & Observable Result:

User clicks habit toggle button to complete a daily routine → Habit checkmark toggles instantly (<1ms), flame streak counter increments, and week completion heatmap updates

Smallest Testable Scope (MVP):

Offline list of habits with streak calculation, local IndexedDB persistence, and daily toggle

Explicitly Out of Scope:

Cloud sync server, Paid subscriptions, Social leaderboard

Core Feature Libraries

Dexie.js, date-fns (localized streak math)

Framework: Next.js 15 (App Router)

Habit trackers demand instant UI responsiveness. Storing mutations directly in IndexedDB via Dexie guarantees sub-millisecond writes without waiting for network round-trips.

Product AI Audit

AI Model Not Required for V1

Model: None required in-app

Habit streak counts, completion heatmaps, and frequency intervals are deterministic mathematical algorithms. Adding an LLM would introduce unnecessary latency and recurring costs with zero retention benefit.

Cloud Hosting

Cloudflare Pages / Vercel Hobby

Est: $0.00 / month

At time of writing; verify with the provider before deploying.

Ready-to-Paste Handoff Prompt (Cursor)

You are a principal engineer building "DailyPace Habit Tracker".

PRODUCT SPECIFICATION:
Local-first habit tracker that stores all data offline in IndexedDB via Dexie.js, calculates day streaks accurately across timezones, and renders a completion dashboard.

SCOPE CUT (V1 MVP):
- IN SCOPE: Add habit modal, Dexie schema (/lib/db.ts), daily completion checkbox, streak calculation algorithm, and localStorage persistence.
- EXPLICITLY OUT OF SCOPE: Cloud account sync, server database, push notifications, AI generation.

CORE ACCEPTANCE TEST:
1. Click "+ Add Habit", enter "Read 30 mins", and click Save -> Habit card appears immediately on dashboard.
2. Click checkbox -> Checkmark illuminates, streak counter displays "1 day".
3. Hard refresh browser tab (Cmd+Shift+R) -> Data and streak state remain intact from IndexedDB.

BUILD ORDER:
1. Define Dexie database schema and TypeScript interfaces in /lib/db.ts.
2. Build custom hook useHabits() utilizing dexie-react-hooks live queries.
3. Build HabitCard and StreakHeatmap components in /components.
4. Wire up daily completion toggle and verify persistence survives page refresh.

First Working Version Checklist (Check Without Reading Code)

Habit creation persists to IndexedDB

Create a habit named "Morning Workout"; verify it appears instantly on the dashboard.

Completion toggle updates streak immediately

Click the checkmark; confirm the streak increments to "1 day" without UI delay.

State survives hard browser refresh

Hard reload the tab (Cmd+Shift+R) and confirm your habit and checked status remain intact.

Static Example

EchoSupport AI Agent Widget

Budget: paidTool: Claude Code

Summary:

Embeddable support chatbot with vector search and human email fallback.

Core Action & Observable Result:

Customer asks "How do I configure custom webhook endpoints in production?" → Widget streams accurate answer citing documentation, with an "Escalate to Human" button if unanswered

Smallest Testable Scope (MVP):

Embeddable chat bubble with vector search over 5 markdown documents and streaming responses

Explicitly Out of Scope:

Complex telephony integration, Multi-tenant billing, Agent team roster scheduling

Core Feature Libraries

Vercel AI SDK (useChat, streamText), pgvector, Resend (email escalation)

Framework: Next.js 15 (App Router)

Combines streaming server actions with pgvector directly in Postgres, eliminating the need for a separate proprietary vector database.

Product AI Audit

Product AI Model Integrated

Model: Claude 3.5 Sonnet or GPT-4o-mini

Requires semantic parsing of user inquiries, document retrieval matching, and streaming response synthesis.

Cloud Hosting

Vercel Pro

Est: $20 - $40 / month

At time of writing; verify with the provider before deploying.

Ready-to-Paste Handoff Prompt (Claude Code)

You are a principal AI engineer building "EchoSupport AI Agent Widget".

PRODUCT SPECIFICATION:
Customer support widget that answers questions using semantic retrieval over company docs, with automated escalation to human support email.

SCOPE CUT (V1 MVP):
- IN SCOPE: Chat widget floating button, streaming /api/chat route with Vercel AI SDK, documentation embedding script, and email dispatch form.
- EXPLICITLY OUT OF SCOPE: Voice audio chat, CRM integrations, team seat management.

CORE ACCEPTANCE TEST:
1. Open chat widget and submit "How do I set up webhooks?".
2. Agent streams response with Markdown code block citing docs.
3. Click "Talk to Human" -> Enters email and message -> Dispatches via Resend API and logs ticket.

BUILD ORDER:
1. Set up pgvector schema in /lib/db.ts.
2. Build document ingestion script /scripts/seed-embeddings.ts using text-embedding-3-small.
3. Build streaming route in /app/api/chat/route.ts with streamText.
4. Build ChatWidget.tsx floating drawer with useChat hook.

First Working Version Checklist (Check Without Reading Code)

Chat stream generates readable response

Ask a test question in the widget and confirm words stream in real-time.

Vector retrieval grounds response with documentation

Confirm the answer cites content from your ingested markdown documentation.

Human escalation triggers email delivery

Submit an escalation ticket and verify email receipt in Resend test dashboard.

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Build Plan Console

Independent Guidance & Beta Notice: TheIdeaToCode provides AI-synthesized architectural recommendations based on user inputs. All recommendations and generated code require human review. Users must have their own access to the recommended coding tools (such as Cursor or Claude Code). Coding tool subscriptions, cloud hosting, and runtime AI model tokens incur separate costs directly with their respective providers.

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